1

Sports Analytics Machine Learning Jobs in Cary, NC

Applied Machine Learning Engineer

Benson, NC ยท On-site

$93K - $111K/yr

Design and own Vulcan's data architecture from operational data stores through ETL pipelines to the analytics and AI layer * Evaluate and select platforms for the data Lakehouse, ETL tooling, and ...

Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted development tools and coding agents.

Experience applying statistical modeling, predictive analytics, or machine learning methods to business or research problems. * Experience working with AI-assisted development tools and coding agents.

Showing results 41-60

Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in Cary, NC?

For Sports Analytics Machine Learning jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Cary, NC look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Cary, NC are:

What cities near Cary, NC are hiring for Sports Analytics Machine Learning jobs?

Cities near Cary, NC with the most Sports Analytics Machine Learning job openings:

Senior Machine Learning Engineer - Ai/LLm/Raleigh, Nc

Motion Recruitment Partners, LLC

Raleigh, NC โ€ข On-site

$101K - $139K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Job Description
An enterprise data analytics company is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer, you'll be defining the architecture of scalable AI/ML and agentic workflows across the company's global product portfolio.
In this role you'll be focused on creating solutions for the legal industry and building a next-generation AI product, including LLM research assistants, retrieval systems, and enterprise-grade agentic workflows. You'll also help shape the long-term AI platform strategy and establish technical standards.
Required Skills & Experience
  • Skilled in AI/ML and agentic workflows
  • Skilled in LLM and RAG architecture
  • Experience with Vector Databases
  • Exposure to MLOps
  • Exposure to Python
  • Exposure to AWS and Kubernetes

Desired Skills & Experience
  • Experience working in the legal industry
  • 12+ years of development experience or 8+ years of development experience and a PhD
  • Degree in a relevant field

What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Build and deploy advanced AI and machine learning models for legal research tools
  • Design and improve large-scale, distributed ML systems and enterprise platforms
  • Develop and integrate agent-based AI workflows and retrieval systems
  • Collaborate with engineering teams to ensure SI solutions are scalable and secure

The Offer
  • Bonus OR Commission eligible

You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match -?if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.